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Long-term transformation in China’s steel sector for carbon capture and storage technology deployment

The study finds that by 2060, CCS mitigates 31.4-40.7% of carbon emissions in China’s steel sector. Optimal CCS deployment achieves 472.4-609.6 Mt mitigation at costs of over 180 CNY per ton. However, related energy and water use risks resource scarcity.

Yihan Wang
Zongguo Wen
Christian Doh Dinga
ResearchOpen Access07 May 2025
Nature Communications

Volume: 16, P: 1-13
Uneven renewable energy supply constrains the decarbonization effects of excessively deployed hydrogen-based DRI technology

This study reveals that over half of China’s steel units lack sufficient renewable energy for hydrogen-based direct reduced iron technology. Aggressive deployment would increase carbon emissions, economic costs, and water usage in the steel sector.

Yihan Wang
Chen Chen
Zongguo Wen
ResearchOpen Access27 May 2025
Nature Communications

Volume: 16, P: 1-14
Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions

Data scarcity and heterogeneity impede the estimation of retired battery capacity. Here, Tao et al. propose a generative learning method that extends measured data space, potentially reducing curation time, cost and facilitating their sustainable reuse and recycling.

Shengyu Tao
Ruifei Ma
Guangmin Zhou
ResearchOpen Access23 Nov 2024
Nature Communications

Volume: 15, P: 1-14
Tripartite interaction representation algorithm for crystal graph neural networks

Yang Yuan
Ziyi Chen
Zongguo Wang
ResearchOpen Access22 Oct 2024
Scientific Reports

Volume: 14, P: 1-11
COVID-19 medical waste dataset and city-level disposal optimization strategies

Analysis of medical waste (MW) generated and disposed of during the COVID-19 pandemic can help develop better MW management in the future. This study presents a city-level dataset on MW generation and disposal capacity during the pandemic across China, and a model to identify disposal strategies.

Zongguo Wen
Hailong Zhao
Yi Zhang
Research29 Apr 2025
Nature Sustainability

Volume: 8, P: 562-573
Neural network training method for materials science based on multi-source databases

Jialong Guo
Ziyi Chen
Yangang Wang
ResearchOpen Access12 Sept 2022
Scientific Reports

Volume: 12, P: 1-10
A repository for the publication and sharing of heterogeneous materials data

Haiyan Gong
Jie He
Jiawang Wan
ResearchOpen Access27 Dec 2022
Scientific Data

Volume: 9, P: 1-16

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Long-term transformation in China’s steel sector for carbon capture and storage technology deployment

Uneven renewable energy supply constrains the decarbonization effects of excessively deployed hydrogen-based DRI technology

Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions

Tripartite interaction representation algorithm for crystal graph neural networks

COVID-19 medical waste dataset and city-level disposal optimization strategies

Neural network training method for materials science based on multi-source databases

A repository for the publication and sharing of heterogeneous materials data

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